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Karthikeyan Thirunavukkarasu.
"progress, not perfection."
ML Engineer & Data Analyst crafting intelligent systems that turn raw data into decisions. I design models, build pipelines, and ship dashboards that move the needle.
Available · 2026
★ 10+ Projects
⌥ 7 Internships
◈ Python · SQL · ML
About
Decisions, distilled
Decisions, distilled
from data.
I'm an undergraduate ML engineer and data analyst with a soft spot for clean code, sharper questions, and dashboards that tell the truth.
10+
Shipped Projects
7
Internship Roles
8.3
Current CGPA
2027
Graduation Year
Hello, I'm Karthikeyan — an aspiring ML Engineer who treats every dataset like a story waiting to be edited. My day-to-day moves between Python notebooks, SQL queries, BI dashboards, and production-grade pipelines, with a steady curiosity for how machines can model human behaviour.
Across seven internships with teams like Corizo, DLF, Cognifyz, Elevvo Pathways, HP and MSDE Skill India, I've shipped customer churn models, fraud detectors, restaurant analytics, RFM segmentations and a smart-city traffic platform. I'm currently pursuing a B.Tech in Artificial Intelligence & Data Science at Trichy Engineering College.
I care about three things — clarity, craft, and consistency. Or, as I keep reminding myself:
"progress, not perfection."
Academic Journey
Where the foundation
Where the foundation
is being built.
Engineering my way through Artificial Intelligence & Data Science — one model, one query, one project at a time.
Trichy Engineering College
Bachelor of Technology — Artificial Intelligence & Data Science
8.3
CGPA
Internship & Roles
Seven chapters, one craft.
Hands-on stints across ML engineering and data analytics — building production models, business dashboards, and front-end interfaces.
ML Engineer Intern
Corizo Edutech Pvt. Ltd.
Building supervised learning pipelines, evaluating models end-to-end, and deploying notebooks into demonstrable solutions for ed-tech use cases.
ML Engineer Trainee
DLF Limited
Training enterprise ML workflows around real-estate operations — feature engineering, model validation, and reporting for business stakeholders.
Data Analyst
Cognifyz Technologies
Restaurant-rating analytics — EDA, geographical patterns, cuisine combinations, and interactive visualizations to surface revenue-driving insights.
Data Analyst
Elevvo Pathways
Customer segmentation with RFM, churn modelling, and SQL-driven product analyses — turning transactional data into growth playbooks.
Data Analyst
HP
Worked on consumer analytics workflows — cleaning, aggregating, and visualising large operational datasets to support BI reporting.
Front-End Developer Intern
React.js Engineering Track
Built responsive React.js interfaces, component libraries, and integrated REST APIs — bridging ML output into clean, usable product surfaces.
Data Analyst
MSDE — Skill India
My first formal analytics role — descriptive statistics, dashboarding, and structured reporting for government skill-development programmes.
Toolset
The stack I actually ship with.
Every icon below is a tool I've shipped a project with — from notebooks and dashboards to web apps and databases.
Languages
Python
core · ML · pandas
SQL
queries · analytics
JavaScript
front-end logic
HTML5
structure · semantics
CSS3
styling · layouts
ML / Data Science
Pandas
data wrangling
NumPy
arrays · math
scikit-learn
classical ML
TensorFlow
deep learning
Jupyter
notebooks · EDA
Matplotlib
visualization
Databases & BI
MySQL
relational DB
PostgreSQL
analytics DB
MS SQL
queries · reports
Tableau
dashboards
Power BI
BI reports
Web & Tools
React.js
front-end UI
Node.js
server side JS
Git
version control
GitHub
code hosting
VS Code
IDE
Figma
design · proto
Netlify
deployment
Selected Work
Projects, organised like a bento.
Click any tile — choose whether you'd like to read the LinkedIn write-up or dive into the GitHub code (FIFA 2026 opens the live site instead).
Connect
Let's build something useful.
If you're hiring, collaborating, or just want to nerd out about ML and data — my inbox is genuinely open.
Direct lines, no gatekeepers.
The fastest way to reach me is email or phone. I respond to LinkedIn DMs too — usually within a day.